Journal on Communications ›› 2020, Vol. 41 ›› Issue (2): 44-57.doi: 10.11959/j.issn.1000-436x.2020034

• Topics: Intellgent Mine • Previous Articles     Next Articles

Research and application of micropower safety monitoring IoT system for mine

Da ZHANG1,2,3,4,Jinong WANG1,2,Hu JI1,3,4,Hao JI1,3,4,Yunfeng ZHAO5   

  1. 1 BGRIMM Technology Group,Beijing 102608,China
    2 Beijing General Research Institute of Mining and Metallurgy Technology,Beijing 100160,China
    3 China-South Africa Joint Research Center for Mineral Resources Development,Beijing 102608,China
    4 China-South Africa “Belt and Road” Joint Laboratory for Sustainable Development and Utilization of Mineral Resources,Beijing 102608,China
    5 Beijing Center for Patent Examination Cooperation of Patent Office of State Intellectual Property Office,Beijing 100160,China
  • Revised:2020-01-02 Online:2020-02-25 Published:2020-03-09
  • Supported by:
    The National Key Research and Development Program of China(2017YFC0804402)

Abstract:

In view of the problems existing in the safety monitoring system of China’s mining enterprises,such as poor reliability,small coverage,high cost,weak maintenance and inaccurate early-warning,etc.,a new safety monitoring IoT system with micro power consumption was proposed for Chinese mines to provide effective technical support for the safety of mine production and operation.The key technologies such as micro-power consumption information collection,fault diagnosis and auto-recovery,energy-saving wireless communication,online intelligent data analysis and early warning had been broken through by the proposed system,which had been successfully applied in typical cases such as online monitoring of tailings ponds,open-pit slop and ground pressure of domestic mining enterprises.Field practice shows that the proposed system is more suitable for mine operation conditions than the existing conventional safety monitoring system,the SNR of new sensor is increased by 1.4 times,the comprehensive energy consumption is reduced by 10%,which is suitable for online intelligent analysis and rapid warning.

Key words: Internet of things (IoT), safety monitoring, cloud service, wireless communication

CLC Number: 

No Suggested Reading articles found!